Population recovery is difficult for species that require large contiguous areas of habitat, particularly within areas of heterogeneous land ownerships. Ecologically, potential for recovery success requires assessment of quantity, quality, and distribution of available habitat. Our objective was to evaluate habitat for a possible Louisiana black bear recovery in southeastern Texas.

First, we categorized land cover and identified remote areas of highly suitable habitat. Next, we used the individual based simulation model J-walk to estimate ability of female black bears to move among remote habitat patches. Then, we applied graph theory to J-walk output to evaluate overall connectivity of remote habitat. An estimated 225,626 ha of remote habitat were identified in 901 patches, most of which was located within the eastern half of the study area. Network analysis showed specific areas where targeted conservation efforts may help black bear population expansion throughout the study region.

Ultimately, enough habitat area exists to sustain a black bear population and it is best connected among public and private lands largely within the eastern half of the study area. Habitat evaluation will need to be revisited if black bears establish themselves locally and actual habitat use data become available. Regardless, our analysis demonstrates an important first step that may be incorporated into a larger adaptive management framework, updated, and replicated as more-detailed habitat suitability and land use data are available.

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The Center for Systems Integration and Sustainability at Michigan State University integrates ecology with socioeconomics, demography and other disciplines for ecological sustainability from local, national to global scales.

Coupled Human and Natural Systems(CHANS) are integrated systems in which humans and natural components interact. CHANS research has recently emerged as an exciting and integrative field of cross-disciplinary scientific inquiry to find sustainable solutions that both benefit the environment and enable people to thrive. Visit CHANS-Net, the international network of research on coupled human and natural systems, for information and ways to engage.